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Experience with GCP tools such as BigQuery, Cloud SQL, Python, Cloud Composer/Airflow, Cloud Storage, and Dataflow/Data Fusion. A key responsibility is migrating historical data from Teradata to the new GCP system and developing data pipelines to streamline data loading into BigQuery.
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Work with the Database Engineer and Developer to carry out the development of the data warehouse based on the requirements using PostgreSQL, SQL Server Integration Services, SQL Server Management Studio, Snowflake, Python, PySpark, Azure Data Factory and Azure Data Bricks.
$200,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
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Work as part of the audit engagement team to support the use of Data and Analytics (D&A) in the performance of external audits including data acquisition, movement and transformation; utilize a range of technologies and data capabilities, such as Alteryx, SQL, Python, Azure Data Factory, Databricks, Azure Data Lake Storage, Power BI and other Azure technologies.
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Technical Skills: Proficient in Snowflake Data Cloud, including hands-on experience with data warehousing, SQL, and SnowSQL. Strong experience with ETL tools and processes. Python Scripting: Develop and maintain Python scripts for data extraction, transformation, and loading (ETL) processes.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Experience with scripting technologies (PowerShell, Bash, Python, Azure Resource Manager Templates, Desired State Configuration, JSON) Experience implementing and supporting Microsoft Azure infrastructure and topologies (Operations Management Suite, Application Insights, Azure App Services, Azure SQL Databases, Azure Site Recovery, Azure Backup, Security Center, Azure Networking, Azure Storage, Azure Automation.
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Experience in Deep Learning techniques, e.g. Transformers, LLM, VLM, vision transformers, transfer learning, LORA, PEFT, CNN, or NLP.Experience using python and/or C/ C. Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Oracle EBS Techno-Functional Consultant (HR & Payroll) specializing in HR and Payroll modules, with in-depth knowledge of PL/SQL, Fast Formulas, payroll tables, and experience in data extraction.
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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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Strong Statistical data analysis and data preparation/automation knowledge with SQL, JMP, SAS, Alteryx/DataIku, Tableau, and/or Python. You will be a key quality leader for site activities including data automation, statistical analysis, problem solving, action plans, RFCs, and preventative actions to reduce/eliminate risk to customer’s product performance.
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Related Terms: PHP, Laravel, React, Full-Stack Developer, Property Management Software, SQL, Remote Developer, AI Integration, Lang Chain, Tableau. Experienced Developer: You bring 4+ years of development experience with a solid foundation in PHP, Laravel, React, and SQL.
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Java, Perl, Python, R, SQL) and scripting. You will have the opportunity to expand your knowledge and skills in a variety of technologies, including programming languages such as Python, relational databases, Linux and Windows operating systems, hypervisor technologies, storage platforms, big data platforms, AI/ML technologies, and cloud native computing such as Kubernetes.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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data science python sql jobs Title: intern in Dallas, AL, United Kingdom
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